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Precision Health Database


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Reproductive and Child Health

Last data update: Jan 30, 2023. (Total: 52323 Documents since 2012)
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Infant Low Birth Weight Prediction Using Graph Embedding Features.
Wasif Khan et al. International journal of environmental research and public health 2023 20(2)
Assessment of Retinopathy of Prematurity Regression and Reactivation Using an Artificial Intelligence-Based Vascular Severity Score.
Eilts Sonja K et al. JAMA network open 2023 6(1) e2251512
Predicting Childhood Obesity Based on Single and Multiple Well-Child Visit Data Using Machine Learning Classifiers.
Mondal Pritom Kumar et al. Sensors (Basel, Switzerland) 2023 23(2)
Prediction of extubation failure among low birthweight neonates using machine learning.
Natarajan Annamalai et al. Journal of perinatology : official journal of the California Perinatal Association 2023
The Utility of Natural Language Samples for Assessing Communication and Language in Infants Referred with Early Signs of Autism.
Hudry Kristelle et al. Research on child and adolescent psychopathology 2023
Acceptability and Feasibility of a Low-Cost Device for Gestational Age Assessment in a Low-Resource Setting: Qualitative Study.
Koech Angela et al. JMIR human factors 2022 9(4) e34823
Assessing machine learning for fair prediction of ADHD in school pupils using a retrospective cohort study of linked education and healthcare data.
Ter-Minassian Lucile et al. BMJ open 2022 12(12) e058058
An accurate deep learning model for wheezing in children using real world data.
Kim Beom Joon et al. Scientific reports 2022 12(1) 22465
Artificial intelligence for the diagnosis of retinopathy of prematurity: A systematic review of current algorithms.
Ramanathan Ashwin et al. Eye (London, England) 2022
Predicting perinatal mortality based on maternal health status and health insurance service using homogeneous ensemble machine learning methods.
Bogale Dawit S et al. BMC medical informatics and decision making 2022 22(1) 341
Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning.
Becker Martin et al. Frontiers in pediatrics 2022 10933266
New advances in prediction and surveillance of preeclampsia: role of machine learning approaches and remote monitoring.
Hackelöer Max et al. Archives of gynecology and obstetrics 2022 1-15
Machine learning approaches for electroencephalography and magnetoencephalography analyses in autism spectrum disorder: A systematic review.
Das Sushmit et al. Progress in neuro-psychopharmacology & biological psychiatry 2022 110705
Risk Prediction for Stillbirth and Neonatal Mortality in Low-resource Settings.
Shukla Vivek V et al. Newborn (Clarksville, Md.) 2022 1(2) 215-218
A non-invasive artificial intelligence approach for the prediction of human blastocyst ploidy: a retrospective model development and validation study.
Barnes Josue et al. The Lancet. Digital health 2022 5(1) e28-e40
The Future Is Coming: Artificial Intelligence in the Treatment of Infertility Could Improve Assisted Reproduction Outcomes-The Value of Regulatory Frameworks.
Medenica Sanja et al. Diagnostics (Basel, Switzerland) 2022 12(12)
Evaluation of an Artificial Intelligence System for Retinopathy of Prematurity Screening in Nepal and Mongolia.
Cole Emily et al. Ophthalmology science 2022 2(4) 100165
Identifying factors associated with central obesity in school students using artificial intelligence techniques.
Zhang Yicheng et al. Frontiers in pediatrics 2022 101060270
Emergency Department Pediatric Readiness Among US Trauma Centers: A Machine Learning Analysis of Components Associated with Survival.
Newgard Craig D et al. Annals of surgery 2022
From computer to bedside, involving neonatologists in artificial intelligence models for neonatal medicine.
Vijlbrief Daniel et al. Pediatric research 2022
Using machine-learning methods to identify early-life predictors of 11-year language outcome.
Gasparini Loretta et al. Journal of child psychology and psychiatry, and allied disciplines 2022
Development and Validation of Algorithms to Estimate Live Birth Gestational Age in Medicaid Analytic eXtract Data.
Zhu Yanmin et al. Epidemiology (Cambridge, Mass.) 2022 34(1) 69-79
Use of artificial intelligence and deep learning in fetal ultrasound imaging.
Ramirez Zegarra R et al. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 2022
Predicting Low Cognitive Ability at Age 5-Feature Selection Using Machine Learning Methods and Birth Cohort Data.
Bowe Andrea K et al. International journal of public health 2022 671605047
Hybrid Diagnosis Models for Autism Patients Based on Medical and Sociodemographic Features Using Machine Learning and Multicriteria Decision-Making (MCDM) Techniques: An Evaluation and Benchmarking Framework.
Alqaysi M E et al. Computational and mathematical methods in medicine 2022 20229410222
Interpretable machine learning to identify important predictors of birth weight: A prospective cohort study.
Liu Zheng et al. Frontiers in pediatrics 2022 10899954
Prediction of Adverse Outcomes in De Novo Hypertensive Disorders of Pregnancy: Development and Validation of Maternal and Neonatal Prognostic Models.
Chen Junjun et al. Healthcare (Basel, Switzerland) 2022 10(11)
An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation.
Moghadam Saeed Montazeri et al. The Lancet. Digital health 2022 4(12) e884-e892
Utilizing big data from electronic health records in pediatric clinical care.
Macias Charles G et al. Pediatric research 2022 1-8
Machine learning models effectively distinguish attention-deficit/hyperactivity disorder using event-related potentials.
Ghasemi Elham et al. Cognitive neurodynamics 2022 16(6) 1335-1349
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